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Machine Learning for Multimodal Interaction
First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers
herausgegeben von Samy Bengio und Hervé BourlardInhaltsverzeichnis
- MLMI 2004.
- Accessing Multimodal Meeting Data: Systems, Problems and Possibilities.
- Browsing Recorded Meetings with Ferret.
- Meeting Modelling in the Context of Multimodal Research.
- Artificial Companions.
- Zakim – A Multimodal Software System for Large-Scale Teleconferencing.
- Towards Computer Understanding of Human Interactions.
- Multistream Dynamic Bayesian Network for Meeting Segmentation.
- Using Static Documents as Structured and Thematic Interfaces to Multimedia Meeting Archives.
- An Integrated Framework for the Management of Video Collection.
- The NITE XML Toolkit Meets the ICSI Meeting Corpus: Import, Annotation, and Browsing.
- S-SEER: Selective Perception in a Multimodal Office Activity Recognition System.
- Mapping from Speech to Images Using Continuous State Space Models.
- An Online Algorithm for Hierarchical Phoneme Classification.
- Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks.
- Mixture of SVMs for Face Class Modeling.
- AV16.3: An Audio-Visual Corpus for Speaker Localization and Tracking.
- The 2004 ICSI-SRI-UW Meeting Recognition System.
- On the Adequacy of Baseform Pronunciations and Pronunciation Variants.
- Tandem Connectionist Feature Extraction for Conversational Speech Recognition.
- Long-Term Temporal Features for Conversational Speech Recognition.
- Speaker Indexing in Audio Archives Using Gaussian Mixture Scoring Simulation.
- Speech Transcription and Spoken Document Retrieval in Finnish.
- A Mixed-Lingual Phonological Component Which Drives the Statistical Prosody Control of a Polyglot TTS Synthesis System.
- Shallow Dialogue Processing Using Machine Learning Algorithms (or Not).
- ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings.
- Piecing Together the Emotion Jigsaw.
- EmotionAnalysis in Man-Machine Interaction Systems.
- A Hierarchical System for Recognition, Tracking and Pose Estimation.
- Automatic Pedestrian Tracking Using Discrete Choice Models and Image Correlation Techniques.
- A Shape Based, Viewpoint Invariant Local Descriptor.